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Quantum Computing Since Democritus (Scott Aaronson)
This book takes readers on a tour through some of the deepest ideas of maths, computer science and physics. Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics.

Computational Physics and Scientific Computing: An Introduction
This book is an introduction to the computational methods used in physics, but also in other scientific fields. C++ is used for programming the core programs and data analysis is performed using the powerful tools of the Gnu/Linux environment.

Computational Physics with Python (Eric Ayars)
This book provides an unusually broad survey of the topics of modern computational physics. Its philosophy is rooted in learning by doing, with new scientific materials as well as with the Python programming language.

Computational Physics with Python (Mark Newman)
A complete introduction to the field of computational physics, with examples and exercises in the Python programming language. It explains the fundamentals of computational physics and describes in simple terms the techniques that every physicist should know,.

Physical Modeling in MATLAB (Allen B. Downey)
Written for beginners, this book provides an introduction to programming in MATLAB and simulation of physical systems.

Physical Audio Signal Processing (Julius O. Smith III)
This book describes signalprocessing models and methods that are used in constructing virtual musical instruments and audio effects. The goal of this book is to enable the reader in developing virtual musical instruments and audio effects that can be boiled down to algorithms and executed by a computer.

Numerical Simulations of Physical and Engineering Processes
The book handles the numerical simulations of physical and engineering systems. It can be treated as a bridge linking various numerical approaches of two closely interrelated branches of science, i.e. physics and engineering.

Introduction to Embedded Systems  A CyberPhysical Systems
This book strives to identify and introduce the durable intellectual ideas of embedded systems as a technology and as a subject of study. It emphasizes on modeling, design, and analysis of cyberphysical systems, which integrate computing, networking, etc.

Mathematical Tools for Physics (James Nearing)
This book provides a comprehensive introduction to the areas of mathematical physics. It combines all the essential math concepts into one compact, clearly written reference.

Mathematics for the Physical Sciences (Herbert S. Wilf)
This book provides a text for a firstyear graduate level course in mathematical methods. Advanced undergraduates and graduate students in the natural sciences will receive a solid foundation in several fields of mathematics with this text.

Linear Algebra: A Course for Physicists and Engineers (Arak Mathai)
This textbook on linear algebra is written to be easy to digest by nonmathematicians. It introduces the concepts of vector spaces and mappings between them without too much theorems and proofs. Various applications of the formal theory are discussed as well.

Finiteelement Methods for Electromagnetics (Stanley Humphries)
This book covers a broad range of practical applications involving electric and magnetic fields. The text emphasizes finiteelement techniques to solve realworld problems in research and industry.

Combinatorial Geometry with Application to Field Theory
Topics covered in this book include fundamental of combinatorics, algebraic combinatorics, topology with Smarandache geometry, combinatorial differential geometry, combinatorial Riemannian submanifolds, Lie multigroups, etc.

Python Scripting for Computational Science (Hans Langtangen)
With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and humanefficient working environments built from small scripts written in the easytolearn, highlevel Python language.

Python Scientific Lecture Notes (Scipy Lectures )
This book is the teaching material on the scientific Python ecosystem, a quick introduction to central tools and techniques. It is for programmers from beginner to expert.

Programming for Computations  MATLAB/Octave (Svein Linge)
This book presents computer programming as a key method for solving mathematical problems using MATLAB and Octave. It is intended for novice programmers. Each treated concept is illustrated and explained in detail by means of working examples.

Programming for Computations  Python (Svein Linge, et al)
This book presents computer programming as a key method for solving mathematical problems using Python. Each treated concept is illustrated and explained in detail by means of working examples. It is intended for novice programmers and engineers.

Linear Mathematics In Infinite Dimensions (Ulrich H. Gerlach)
Focus on the mathematical framework that underlies linear systems arising in physics, engineering and applied mathematics  from the theory of linear transformation on finite dimensional vector space to the infinite dimensional vector spaces.

Physics
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